addmark.ppp: Add marks for a point pattern

In forestSAS: Forest Spatial Structure Analysis Systems

Description

Add marks for a point pattern

Usage

addmark.ppp(X, add.mark, add.name = "storey")

Arguments

X	A point pattern (object of class "ppp").
add.mark	Marks need added in the point pattern
add.name	Names of added marks (add.mark)

Value

A point pattern added marks

Author(s)

Zongzheng Chai, [e-mail]

References

None

Examples

library(spatstat)
data(finpines)
finpinesdata<-as.data.frame(finpines)
####Dividing the stories
finpines.storey<-storeydvd(finpinesdata$height,storeynum=6)
finpines.storey

####Computing the storey differation
##Add the storey mark for finepines
finpines.addstorey<-addmark.ppp(finpines,
        add.mark=finpines.storey$heightdata[,2:3],
                  add.name=c("interval","storey" ))
finpines.addstorey

Example output

Loading required package: spatstat.data
Loading required package: nlme
Loading required package: rpart

spatstat 1.64-1       (nickname: ‘Help you I can, yes!’) 
For an introduction to spatstat, type ‘beginner’ 


Note: spatstat version 1.64-1 is out of date by more than 10 months; we recommend upgrading to the latest version.
$heightfreq
interval
 [0.8,1.57] (1.57,2.33]  (2.33,3.1]  (3.1,3.87] (3.87,4.63]  (4.63,5.4] 
         20          31          26          22          16          11 

$heightdata
    height    interval storey
1     1.70 (1.57,2.33]     S5
2     1.70 (1.57,2.33]     S5
3     1.60 (1.57,2.33]     S5
4     4.10 (3.87,4.63]     S2
5     3.10  (2.33,3.1]     S4
6     4.30 (3.87,4.63]     S2
7     2.30 (1.57,2.33]     S5
8     4.00 (3.87,4.63]     S2
9     5.40  (4.63,5.4]     S1
10    1.80 (1.57,2.33]     S5
11    3.20  (3.1,3.87]     S3
12    1.30  [0.8,1.57]     S6
13    3.80  (3.1,3.87]     S3
14    1.50  [0.8,1.57]     S6
15    2.10 (1.57,2.33]     S5
16    3.30  (3.1,3.87]     S3
17    3.00  (2.33,3.1]     S4
18    3.20  (3.1,3.87]     S3
19    1.50  [0.8,1.57]     S6
20    1.60 (1.57,2.33]     S5
21    2.10 (1.57,2.33]     S5
22    1.40  [0.8,1.57]     S6
23    2.80  (2.33,3.1]     S4
24    4.00 (3.87,4.63]     S2
25    1.40  [0.8,1.57]     S6
26    1.60 (1.57,2.33]     S5
27    4.00 (3.87,4.63]     S2
28    1.90 (1.57,2.33]     S5
29    4.80  (4.63,5.4]     S1
30    1.60 (1.57,2.33]     S5
31    3.00  (2.33,3.1]     S4
32    3.10  (2.33,3.1]     S4
33    4.40 (3.87,4.63]     S2
34    2.10 (1.57,2.33]     S5
35    3.00  (2.33,3.1]     S4
36    2.40  (2.33,3.1]     S4
37    1.90 (1.57,2.33]     S5
38    2.30 (1.57,2.33]     S5
39    4.80  (4.63,5.4]     S1
40    1.80 (1.57,2.33]     S5
41    2.00 (1.57,2.33]     S5
42    3.50  (3.1,3.87]     S3
43    3.30  (3.1,3.87]     S3
44    2.80  (2.33,3.1]     S4
45    1.65 (1.57,2.33]     S5
46    2.40  (2.33,3.1]     S4
47    3.50  (3.1,3.87]     S3
48    1.00  [0.8,1.57]     S6
49    3.00  (2.33,3.1]     S4
50    2.40  (2.33,3.1]     S4
51    3.40  (3.1,3.87]     S3
52    0.80  [0.8,1.57]     S6
53    2.30 (1.57,2.33]     S5
54    5.00  (4.63,5.4]     S1
55    3.60  (3.1,3.87]     S3
56    3.40  (3.1,3.87]     S3
57    4.00 (3.87,4.63]     S2
58    1.50  [0.8,1.57]     S6
59    4.70  (4.63,5.4]     S1
60    5.00  (4.63,5.4]     S1
61    2.80  (2.33,3.1]     S4
62    1.40  [0.8,1.57]     S6
63    2.90  (2.33,3.1]     S4
64    4.60 (3.87,4.63]     S2
65    1.60 (1.57,2.33]     S5
66    2.30 (1.57,2.33]     S5
67    4.40 (3.87,4.63]     S2
68    3.60  (3.1,3.87]     S3
69    4.90  (4.63,5.4]     S1
70    2.10 (1.57,2.33]     S5
71    1.50  [0.8,1.57]     S6
72    3.00  (2.33,3.1]     S4
73    3.00  (2.33,3.1]     S4
74    3.20  (3.1,3.87]     S3
75    3.20  (3.1,3.87]     S3
76    3.00  (2.33,3.1]     S4
77    3.00  (2.33,3.1]     S4
78    1.90 (1.57,2.33]     S5
79    3.60  (3.1,3.87]     S3
80    3.30  (3.1,3.87]     S3
81    2.40  (2.33,3.1]     S4
82    4.90  (4.63,5.4]     S1
83    2.50  (2.33,3.1]     S4
84    1.60 (1.57,2.33]     S5
85    3.90 (3.87,4.63]     S2
86    4.00 (3.87,4.63]     S2
87    4.20 (3.87,4.63]     S2
88    3.10  (2.33,3.1]     S4
89    1.40  [0.8,1.57]     S6
90    3.80  (3.1,3.87]     S3
91    1.80 (1.57,2.33]     S5
92    2.90  (2.33,3.1]     S4
93    2.20 (1.57,2.33]     S5
94    3.50  (3.1,3.87]     S3
95    3.20  (3.1,3.87]     S3
96    2.10 (1.57,2.33]     S5
97    5.20  (4.63,5.4]     S1
98    3.50  (3.1,3.87]     S3
99    3.90 (3.87,4.63]     S2
100   1.50  [0.8,1.57]     S6
101   0.90  [0.8,1.57]     S6
102   2.80  (2.33,3.1]     S4
103   1.50  [0.8,1.57]     S6
104   2.30 (1.57,2.33]     S5
105   4.00 (3.87,4.63]     S2
106   0.90  [0.8,1.57]     S6
107   2.30 (1.57,2.33]     S5
108   1.20  [0.8,1.57]     S6
109   2.50  (2.33,3.1]     S4
110   3.70  (3.1,3.87]     S3
111   2.00 (1.57,2.33]     S5
112   3.80  (3.1,3.87]     S3
113   1.30  [0.8,1.57]     S6
114   3.20  (3.1,3.87]     S3
115   2.70  (2.33,3.1]     S4
116   4.80  (4.63,5.4]     S1
117   2.30 (1.57,2.33]     S5
118   4.50 (3.87,4.63]     S2
119   1.30  [0.8,1.57]     S6
120   1.30  [0.8,1.57]     S6
121   3.10  (2.33,3.1]     S4
122   4.30 (3.87,4.63]     S2
123   2.10 (1.57,2.33]     S5
124   4.80  (4.63,5.4]     S1
125   2.50  (2.33,3.1]     S4
126   1.20  [0.8,1.57]     S6

Marked planar point pattern: 126 points
Mark variables: diameter, height, interval, storey 
window: rectangle = [-5, 5] x [-8, 2] metres

forestSAS documentation built on May 1, 2019, 10:15 p.m.